SQL Server to Redshift Migration Unblocked in 8 Days

A financial services migration from SQL Server 2015 to AWS Redshift was stalled because the team had no reliable documentation of stored procedures, views, ETL scripts, dependencies, or embedded business logic. 3X Data Engineering used AI-powered reverse engineering, metadata intelligence, and T-SQL gap analysis to document the legacy estate, identify migration risks, and produce a fact-based Migration Canvas in 8 business days.

8 Days

Discovery to Delivery

90% +

Time Saved on Discovery

100%

Objects Documented

0

SME Dependency

THE CHALLENGE

A Brazilian system integrator was engaged by a financial services institution to modernize their legacy SQL Server 2015 data warehouse to AWS Redshift. The project stalled before migration could begin. Hundreds of undocumented stored procedures, views, and ETL scripts built by departed engineers meant the team had no visibility into what existed, how it connected, or what business logic was embedded in the code. Without this understanding, they could not define a migration roadmap, produce credible estimates, or anticipate technical blockers.

PAIN POINTS

  • Zero documentation on data models, stored procedures, and ETL logic across the entire estate
  • Original engineers departed with no SMEs available for knowledge transfer
  • No visibility into object dependencies, making migration wave planning impossible
  • T-SQL constructs with no direct Redshift equivalent, creating unknown conversion risk
  • Traditional reverse engineering would take months with a large specialized team

THE SOLUTION

SQL Server to Redshift migration architecture with 3X accelerators and 8-day delivery timeline.

3X Data Engineering’s Reverse Engineering Engine connected directly to the SQL Server 2015 environment with read-only access and performed automated extraction, semantic analysis, and documentation of every database object. Combined with the Metadata Intelligence Engine and Fact-Based Estimation Engine, it delivered a comprehensive Migration Canvas in 8 business days.

SOLUTION HIGHLIGHTS

  • Source-connected discovery with automated extraction of all tables, views, stored procedures, functions, and triggers
  • AI-powered deconstruction of every SQL object to extract business logic, transformation rules, and data flow patterns
  • Object-level complexity scoring based on T-SQL constructs, Redshift compatibility, and interdependencies
  • T-SQL to Redshift gap analysis with flagged incompatibilities and recommended workarounds
  • Dependency and lineage mapping revealing hidden connections critical for migration wave planning
  • Fact-based effort estimates, phased roadmap, skills matrix, and risk register

RESULTS

Traditional ApproachWith 3X Data Engineering
Discovery Phase6–18 weeks8 business days
Team Required5+ specialistsLean expert team
Discovery EffortMonths of manual workAutomated in days
SME DependencyCritical blockerZero dependency
DocumentationManual interviewsAuto generated
Effort EstimatesAssumption-basedFact-based, per-object

ACCELERATORS USED

KEY TAKEAWAY

Moving from SQL Server to Redshift with unclear schema complexity and dependencies?
3X Data Engineering assessed the source environment and separated migration blockers from execution-ready components.
The result was a practical migration roadmap before timelines, budgets, and engineering capacity were locked.

Frequently Asked Questions

Answering common questions about 3X Data Engineering to help you get started on your modernization journey.

Traditional discovery and planning alone takes 6 to 18 weeks before any migration work begins. With 3X Data Engineering’s AI-powered reverse engineering and fact-based estimation accelerators, the complete discovery-to-migration-plan phase compresses to 8 business days. Full migration execution typically ranges from 8 to 24 weeks depending on object count, T-SQL complexity, and testing requirements.
The most common blockers are undocumented stored procedures with embedded business logic, T-SQL constructs with no direct Redshift equivalent, hidden cross-object dependencies that surface mid-migration, and the absence of subject matter experts who built the original system. AI-powered reverse engineering addresses all of these by automatically extracting, documenting, and scoring every object before migration begins.
Yes. 3X Data Engineering’s Reverse Engineering Engine connects to the SQL Server environment with read-only access and automatically extracts all tables, views, stored procedures, functions, and triggers. It uses semantic analysis to extract business logic, transformation rules, and data flow patterns, producing comprehensive documentation without relying on tribal knowledge or SME interviews.
Redshift does not support several T-SQL constructs commonly used in SQL Server data warehouses, including cursors, certain temporary table patterns, cross-database queries, linked servers, CLR stored procedures, and SQL Server Agent job orchestration. 3X Data Engineering’s Code Conversion accelerator flags every unsupported construct at the object level with specific workarounds and refactoring recommendations before migration begins.
3X Data Engineering replaces assumption-based estimation with fact-based, per-object complexity scoring. Every stored procedure, view, and script is scored based on T-SQL constructs used, Redshift compatibility, data volumes, and interdependencies. This produces bottom-up effort estimates grounded in actual system complexity rather than industry averages or team guesses.

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Plan Your Legacy Warehouse Migration with Facts

Use AI-powered discovery, reverse engineering, and gap analysis to turn undocumented SQL Server estates into a migration-ready roadmap.

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